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How accurate are the P450 models?

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The accuracies of the models for each isoform when tested on independent test sets are shown below:

Results of the P450 Regioselectivity Models on independent test sets

Isoform N * All metabolites correctly predicted ** At least one metabolite correctly predicted Incorrect
CYP3A4 168 68% 17% 15%
CYP2D6 188 75% 12% 13%
CYP2C9 139 72% 12% 16%

* N = number of compounds in independent test set.
** Observed metabolites in the top 3 predicted sites or >10% predicted metabolism.

Only 14 of the 22 molecules that form the top 20 drugs in this study are metabolised by Cytochrome P450 enzymes. These 14 drugs produce a total of 22 major metabolites of which 19 are correctly identified (86%), and a total of 6 minor metabolites of which 5 are correctly identified (83%). The results of the study are summarised below.

Summary of Results for Top20 Drugs* Using Regioselectivity Models

Rank Active Indication Major Metabolising Enzymes Metabolites Correctly Identified
3A4 2D6 2C9 Other
1 Atorvastatin Elevated cholesterol x 3A5 2/2
2 Simvastatin Elevated cholesterol x 3A5,2C8 2/3
3 Salmeterol xinatoate Asthma x 1/1
3 Fluticason propionate Asthma x 1/1
5 Olanzapine Psychosis/schizophrenia x 1A2,MAO 2/2
6 Esomeprazole Gastrointestinal disorders x 2C19 4/4
8 Sertraline Depression x 1/1
9 Venlafaxine Depression x x 3/3
11 Celecoxib Arthritis x 1/1
13 Valsartan Hypertension x 1/1
14 Risperidone Psychosis/schizophrenia x 0/2
15 Losartan Hypertension x x 1/1
18 Montelukast Asthma x x 3/4
20 Lansoprazole Gastrointestinal disorders x x 2C19 2/2

*By sales for 2004. Source: Med. Ad. News May 2005.

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Last Updated on Tuesday, 29 September 2009 21:37  

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